Data Scientist

Key Responsibilities:

1. Technical Execution and Leadership:

• Develop and deploy AI models and data analytics solutions.
• Support the implementation and optimization of AI-driven strategies per business stakeholder requirements.
• Help refine data-driven methodologies for transformation projects

2. Data Science and AI:

• Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
• Learn and utilize cloud platforms to ensure the scalability of AI solutions.
• Leverage reusable assets and apply IBM standards for data science and development.

3. Project Support:

• Lead and contribute to various stages of AI and data science projects, from data exploration to model development.
• Monitor project timelines and help resolve technical challenges.
• Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.

4. Collaboration:

• Ensure alignment to stakeholders strategic direction and tactical needs.
• Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
• Contribute technical expertise to cross-functional teams.